Jaccard distance

Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces

Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces
Author(s)3: Xiang Zhang, Camilo Libedinsky, Rosa So, Jose C. Principe, Yiwen Wang
Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces 780 447 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

     Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate or re-fit the discrepancy between the desired target and…

read more

Subscribe for Updates

Join our mailing list to receive the latest news and updates.

Subscribe Now
IEEE Engineering in Medicine & Biology Society Logo

TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.

IEEE Logo

© Copyright IEEE – All rights reserved. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

Search this website